CKD Profile Report

Dataset statistics

Number of variables	25
Number of observations	400
Missing cells	1012
Missing cells (%)	10.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	329.9 KiB
Average record size in memory	844.6 B

Variable types

Numeric	13
Categorical	7
Boolean	5

Warnings

`bu` is highly correlated with `sc` and 3 other fields	High correlation
`sc` is highly correlated with `bu` and 1 other fields	High correlation
`sod` is highly correlated with `sc`	High correlation
`hemo` is highly correlated with `bu` and 2 other fields	High correlation
`pcv` is highly correlated with `bu` and 2 other fields	High correlation
`rbcc` is highly correlated with `bu` and 2 other fields	High correlation
`bu` is highly correlated with `sc` and 3 other fields	High correlation
`sc` is highly correlated with `bu` and 3 other fields	High correlation
`sod` is highly correlated with `hemo` and 1 other fields	High correlation
`hemo` is highly correlated with `bu` and 4 other fields	High correlation
`pcv` is highly correlated with `bu` and 4 other fields	High correlation
`rbcc` is highly correlated with `bu` and 3 other fields	High correlation
`bu` is highly correlated with `sc`	High correlation
`sc` is highly correlated with `bu` and 2 other fields	High correlation
`hemo` is highly correlated with `sc` and 2 other fields	High correlation
`pcv` is highly correlated with `sc` and 2 other fields	High correlation
`rbcc` is highly correlated with `hemo` and 1 other fields	High correlation
`ane` is highly correlated with `pcv` and 4 other fields	High correlation
`class` is highly correlated with `pcv` and 14 other fields	High correlation
`pot` is highly correlated with `sc` and 1 other fields	High correlation
`pcv` is highly correlated with `ane` and 14 other fields	High correlation
`rbc` is highly correlated with `class` and 4 other fields	High correlation
`bp` is highly correlated with `class`	High correlation
`age` is highly correlated with `htn`	High correlation
`su` is highly correlated with `class` and 4 other fields	High correlation
`appet` is highly correlated with `class` and 6 other fields	High correlation
`rbcc` is highly correlated with `ane` and 10 other fields	High correlation
`sod` is highly correlated with `pcv` and 4 other fields	High correlation
`sc` is highly correlated with `pot` and 4 other fields	High correlation
`dm` is highly correlated with `class` and 7 other fields	High correlation
`cad` is highly correlated with `su`	High correlation
`al` is highly correlated with `class` and 13 other fields	High correlation
`sg` is highly correlated with `class` and 3 other fields	High correlation
`pc` is highly correlated with `class` and 10 other fields	High correlation
`pcc` is highly correlated with `al` and 1 other fields	High correlation
`bu` is highly correlated with `ane` and 9 other fields	High correlation
`hemo` is highly correlated with `ane` and 14 other fields	High correlation
`bgr` is highly correlated with `class` and 5 other fields	High correlation
`ba` is highly correlated with `al`	High correlation
`htn` is highly correlated with `ane` and 13 other fields	High correlation
`pe` is highly correlated with `class` and 6 other fields	High correlation
`dm` is highly correlated with `class` and 1 other fields	High correlation
`class` is highly correlated with `dm` and 3 other fields	High correlation
`sg` is highly correlated with `class`	High correlation
`pcc` is highly correlated with `pc`	High correlation
`pc` is highly correlated with `pcc`	High correlation
`rbc` is highly correlated with `class`	High correlation
`htn` is highly correlated with `dm` and 1 other fields	High correlation
`age` has 9 (2.2%) missing values	Missing
`bp` has 12 (3.0%) missing values	Missing
`sg` has 47 (11.8%) missing values	Missing
`al` has 46 (11.5%) missing values	Missing
`su` has 49 (12.2%) missing values	Missing
`rbc` has 152 (38.0%) missing values	Missing
`pc` has 65 (16.2%) missing values	Missing
`bgr` has 44 (11.0%) missing values	Missing
`bu` has 19 (4.8%) missing values	Missing
`sc` has 17 (4.2%) missing values	Missing
`sod` has 87 (21.8%) missing values	Missing
`pot` has 88 (22.0%) missing values	Missing
`hemo` has 52 (13.0%) missing values	Missing
`pcv` has 71 (17.8%) missing values	Missing
`wbccc` has 106 (26.5%) missing values	Missing
`rbcc` has 131 (32.8%) missing values	Missing
`al` has 199 (49.8%) zeros	Zeros
`su` has 290 (72.5%) zeros	Zeros

Reproduction

Analysis started	2021-06-05 07:16:24.743089
Analysis finished	2021-06-05 07:16:54.896875
Duration	30.15 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	76
Distinct (%)	19.4%
Missing	9
Missing (%)	2.2%
Infinite	0
Infinite (%)	0.0%
Mean	51.48337596

Minimum	2
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2
5-th percentile	19
Q1	42
median	55
Q3	64.5
95-th percentile	74.5
Maximum	90
Range	88
Interquartile range (IQR)	22.5

Descriptive statistics

Standard deviation	17.16971409
Coefficient of variation (CV)	0.3335001594
Kurtosis	0.0578404946
Mean	51.48337596
Median Absolute Deviation (MAD)	10
Skewness	-0.6682594692
Sum	20130
Variance	294.7990819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	19	4.8%
65	17	4.2%
48	12	3.0%
50	12	3.0%
55	12	3.0%
47	11	2.8%
62	10	2.5%
56	10	2.5%
45	10	2.5%
54	10	2.5%
Other values (66)	268	67.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	2	0.5%
6	1	0.2%
7	1	0.2%
8	3	0.8%
11	1	0.2%
12	2	0.5%
14	1	0.2%

Value	Count	Frequency (%)
90	1	0.2%
83	1	0.2%
82	1	0.2%
81	1	0.2%
80	4	1.0%
79	1	0.2%
78	1	0.2%
76	5	1.2%
75	5	1.2%
74	3	0.8%

bp
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	2.6%
Missing	12
Missing (%)	3.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.46907216

Minimum	50
Maximum	180
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	50
5-th percentile	60
Q1	70
median	80
Q3	80
95-th percentile	100
Maximum	180
Range	130
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	13.68363749
Coefficient of variation (CV)	0.1789434226
Kurtosis	8.646095189
Mean	76.46907216
Median Absolute Deviation (MAD)	10
Skewness	1.605428957
Sum	29670
Variance	187.2419351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
80	116	29.0%
70	112	28.0%
60	71	17.8%
90	53	13.2%
100	25	6.2%
50	5	1.2%
110	3	0.8%
120	1	0.2%
180	1	0.2%
140	1	0.2%
(Missing)	12	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
50	5	1.2%
60	71	17.8%
70	112	28.0%
80	116	29.0%
90	53	13.2%
100	25	6.2%
110	3	0.8%
120	1	0.2%
140	1	0.2%
180	1	0.2%

Value	Count	Frequency (%)
180	1	0.2%
140	1	0.2%
120	1	0.2%
110	3	0.8%
100	25	6.2%
90	53	13.2%
80	116	29.0%
70	112	28.0%
60	71	17.8%
50	5	1.2%

sg
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	1.4%
Missing	47
Missing (%)	11.8%
Memory size	23.1 KiB

1.02	106
1.01	84
1.025	81
1.015	75
1.005	7

Length

Max length	5
Median length	4
Mean length	4.461756374
Min length	4

Characters and Unicode

Total characters	1575
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.02
2nd row	1.02
3rd row	1.01
4th row	1.005
5th row	1.01

Common Values

Value	Count	Frequency (%)
1.02	106	26.5%
1.01	84	21.0%
1.025	81	20.2%
1.015	75	18.8%
1.005	7	1.8%
(Missing)	47	11.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.02	106	30.0%
1.01	84	23.8%
1.025	81	22.9%
1.015	75	21.2%
1.005	7	2.0%

Most occurring characters

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1222	77.6%
Other Punctuation	353	22.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	512	41.9%
0	360	29.5%
2	187	15.3%
5	163	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	353	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1575	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1575	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	512	32.5%
0	360	22.9%
.	353	22.4%
2	187	11.9%
5	163	10.3%

al
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	1.7%
Missing	46
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.016949153

Minimum	0
Maximum	5
Zeros	199
Zeros (%)	49.8%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.352678913
Coefficient of variation (CV)	1.330134264
Kurtosis	-0.3833766021
Mean	1.016949153
Median Absolute Deviation (MAD)	0
Skewness	0.9981572421
Sum	360
Variance	1.829740241
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	199	49.8%
1	44	11.0%
3	43	10.8%
2	43	10.8%
4	24	6.0%
5	1	0.2%
(Missing)	46	11.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	199	49.8%
1	44	11.0%
2	43	10.8%
3	43	10.8%
4	24	6.0%
5	1	0.2%

Value	Count	Frequency (%)
5	1	0.2%
4	24	6.0%
3	43	10.8%
2	43	10.8%
1	44	11.0%
0	199	49.8%

su
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	6
Distinct (%)	1.7%
Missing	49
Missing (%)	12.2%
Infinite	0
Infinite (%)	0.0%
Mean	0.4501424501

Minimum	0
Maximum	5
Zeros	290
Zeros (%)	72.5%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.099191252
Coefficient of variation (CV)	2.441874237
Kurtosis	5.055348003
Mean	0.4501424501
Median Absolute Deviation (MAD)	0
Skewness	2.464261823
Sum	158
Variance	1.208221408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	290	72.5%
2	18	4.5%
3	14	3.5%
1	13	3.2%
4	13	3.2%
5	3	0.8%
(Missing)	49	12.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	290	72.5%
1	13	3.2%
2	18	4.5%
3	14	3.5%
4	13	3.2%
5	3	0.8%

Value	Count	Frequency (%)
5	3	0.8%
4	13	3.2%
3	14	3.5%
2	18	4.5%
1	13	3.2%
0	290	72.5%

rbc
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.8%
Missing	152
Missing (%)	38.0%
Memory size	20.2 KiB

normal	201
abnormal	47

Length

Max length	8
Median length	6
Mean length	6.379032258
Min length	6

Characters and Unicode

Total characters	1582
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	normal
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	201	50.2%
abnormal	47	11.8%
(Missing)	152	38.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	201	81.0%
abnormal	47	19.0%

Most occurring characters

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1582	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1582	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1582	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	295	18.6%
n	248	15.7%
o	248	15.7%
r	248	15.7%
m	248	15.7%
l	248	15.7%
b	47	3.0%

pc
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.6%
Missing	65
Missing (%)	16.2%
Memory size	22.9 KiB

normal	259
abnormal	76

Length

Max length	8
Median length	6
Mean length	6.453731343
Min length	6

Characters and Unicode

Total characters	2162
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	normal
2nd row	normal
3rd row	normal
4th row	abnormal
5th row	normal

Common Values

Value	Count	Frequency (%)
normal	259	64.8%
abnormal	76	19.0%
(Missing)	65	16.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	259	77.3%
abnormal	76	22.7%

Most occurring characters

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2162	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2162	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2162	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	411	19.0%
n	335	15.5%
o	335	15.5%
r	335	15.5%
m	335	15.5%
l	335	15.5%
b	76	3.5%

pcc
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	4
Missing (%)	1.0%
Memory size	26.0 KiB

notpresent	354
present	42

Length

Max length	10
Median length	10
Mean length	9.681818182
Min length	7

Characters and Unicode

Total characters	3834
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	notpresent
2nd row	notpresent
3rd row	notpresent
4th row	present
5th row	notpresent

Common Values

Value	Count	Frequency (%)
notpresent	354	88.5%
present	42	10.5%
(Missing)	4	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
notpresent	354	89.4%
present	42	10.6%

Most occurring characters

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3834	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3834	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3834	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	792	20.7%
n	750	19.6%
t	750	19.6%
p	396	10.3%
r	396	10.3%
s	396	10.3%
o	354	9.2%

ba
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	4
Missing (%)	1.0%
Memory size	26.1 KiB

notpresent	374
present	22

Length

Max length	10
Median length	10
Mean length	9.833333333
Min length	7

Characters and Unicode

Total characters	3894
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	notpresent
2nd row	notpresent
3rd row	notpresent
4th row	notpresent
5th row	notpresent

Common Values

Value	Count	Frequency (%)
notpresent	374	93.5%
present	22	5.5%
(Missing)	4	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
notpresent	374	94.4%
present	22	5.6%

Most occurring characters

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3894	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3894	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	792	20.3%
n	770	19.8%
t	770	19.8%
p	396	10.2%
r	396	10.2%
s	396	10.2%
o	374	9.6%

bgr
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	146
Distinct (%)	41.0%
Missing	44
Missing (%)	11.0%
Infinite	0
Infinite (%)	0.0%
Mean	148.0365169

Minimum	22
Maximum	490
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	22
5-th percentile	78.75
Q1	99
median	121
Q3	163
95-th percentile	307.25
Maximum	490
Range	468
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	79.28171424
Coefficient of variation (CV)	0.5355551179
Kurtosis	4.225593588
Mean	148.0365169
Median Absolute Deviation (MAD)	25
Skewness	2.010773173
Sum	52701
Variance	6285.590212
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	10	2.5%
93	9	2.2%
100	9	2.2%
107	8	2.0%
131	6	1.5%
92	6	1.5%
109	6	1.5%
140	6	1.5%
130	6	1.5%
117	6	1.5%
Other values (136)	284	71.0%
(Missing)	44	11.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
22	1	0.2%
70	5	1.2%
74	3	0.8%
75	2	0.5%
76	4	1.0%
78	3	0.8%
79	3	0.8%
80	2	0.5%
81	3	0.8%
82	3	0.8%

Value	Count	Frequency (%)
490	2	0.5%
463	1	0.2%
447	1	0.2%
425	1	0.2%
424	2	0.5%
423	1	0.2%
415	1	0.2%
410	1	0.2%
380	1	0.2%
360	2	0.5%

bu
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	118
Distinct (%)	31.0%
Missing	19
Missing (%)	4.8%
Infinite	0
Infinite (%)	0.0%
Mean	57.42572178

Minimum	1.5
Maximum	391
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	1.5
5-th percentile	17
Q1	27
median	42
Q3	66
95-th percentile	162
Maximum	391
Range	389.5
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	50.50300585
Coefficient of variation (CV)	0.8794492133
Kurtosis	9.345288576
Mean	57.42572178
Median Absolute Deviation (MAD)	16
Skewness	2.634374459
Sum	21879.2
Variance	2550.5536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46	15	3.8%
25	13	3.2%
19	11	2.8%
40	10	2.5%
18	9	2.2%
15	9	2.2%
48	9	2.2%
50	9	2.2%
32	8	2.0%
26	8	2.0%
Other values (108)	280	70.0%
(Missing)	19	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.5	1	0.2%
10	2	0.5%
15	9	2.2%
16	7	1.8%
17	7	1.8%
18	9	2.2%
19	11	2.8%
20	7	1.8%
21	1	0.2%
22	6	1.5%

Value	Count	Frequency (%)
391	1	0.2%
322	1	0.2%
309	1	0.2%
241	1	0.2%
235	1	0.2%
223	1	0.2%
219	1	0.2%
217	1	0.2%
215	1	0.2%
208	1	0.2%

sc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	84
Distinct (%)	21.9%
Missing	17
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.072454308

Minimum	0.4
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	0.4
5-th percentile	0.5
Q1	0.9
median	1.3
Q3	2.8
95-th percentile	11.89
Maximum	76
Range	75.6
Interquartile range (IQR)	1.9

Descriptive statistics

Standard deviation	5.741126067
Coefficient of variation (CV)	1.868579803
Kurtosis	79.30434545
Mean	3.072454308
Median Absolute Deviation (MAD)	0.6
Skewness	7.509538252
Sum	1176.75
Variance	32.96052852
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.2	40	10.0%
1.1	24	6.0%
1	23	5.8%
0.5	23	5.8%
0.7	22	5.5%
0.9	22	5.5%
0.6	18	4.5%
0.8	17	4.2%
2.2	10	2.5%
1.7	9	2.2%
Other values (74)	175	43.8%
(Missing)	17	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.4	1	0.2%
0.5	23	5.8%
0.6	18	4.5%
0.7	22	5.5%
0.8	17	4.2%
0.9	22	5.5%
1	23	5.8%
1.1	24	6.0%
1.2	40	10.0%
1.3	8	2.0%

Value	Count	Frequency (%)
76	1	0.2%
48.1	1	0.2%
32	1	0.2%
24	1	0.2%
18.1	1	0.2%
18	1	0.2%
16.9	1	0.2%
16.4	1	0.2%
15.2	1	0.2%
15	1	0.2%

sod
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	34
Distinct (%)	10.9%
Missing	87
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%
Mean	137.528754

Minimum	4.5
Maximum	163
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	4.5
5-th percentile	125
Q1	135
median	138
Q3	142
95-th percentile	150
Maximum	163
Range	158.5
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	10.40875205
Coefficient of variation (CV)	0.07568418785
Kurtosis	85.53436962
Mean	137.528754
Median Absolute Deviation (MAD)	3
Skewness	-6.996568561
Sum	43046.5
Variance	108.3421193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
135	40	10.0%
140	25	6.2%
141	22	5.5%
139	21	5.2%
142	20	5.0%
138	20	5.0%
137	19	4.8%
150	17	4.2%
136	17	4.2%
147	13	3.2%
Other values (24)	99	24.8%
(Missing)	87	21.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.5	1	0.2%
104	1	0.2%
111	1	0.2%
113	2	0.5%
114	2	0.5%
115	1	0.2%
120	2	0.5%
122	2	0.5%
124	3	0.8%
125	2	0.5%

Value	Count	Frequency (%)
163	1	0.2%
150	17	4.2%
147	13	3.2%
146	10	2.5%
145	11	2.8%
144	9	2.2%
143	4	1.0%
142	20	5.0%
141	22	5.5%
140	25	6.2%

pot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	12.8%
Missing	88
Missing (%)	22.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.62724359

Minimum	2.5
Maximum	47
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2.5
5-th percentile	3.4
Q1	3.8
median	4.4
Q3	4.9
95-th percentile	5.7
Maximum	47
Range	44.5
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	3.193904177
Coefficient of variation (CV)	0.6902390407
Kurtosis	142.5059115
Mean	4.62724359
Median Absolute Deviation (MAD)	0.5
Skewness	11.58295556
Sum	1443.7
Variance	10.20102389
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
5	30	7.5%
3.5	30	7.5%
4.9	27	6.8%
4.7	17	4.2%
4.8	16	4.0%
4.4	14	3.5%
3.8	14	3.5%
4.2	14	3.5%
4.1	14	3.5%
3.9	14	3.5%
Other values (30)	122	30.5%
(Missing)	88	22.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.5	2	0.5%
2.7	1	0.2%
2.8	1	0.2%
2.9	3	0.8%
3	2	0.5%
3.2	3	0.8%
3.3	3	0.8%
3.4	5	1.2%
3.5	30	7.5%
3.6	8	2.0%

Value	Count	Frequency (%)
47	1	0.2%
39	1	0.2%
7.6	1	0.2%
6.6	1	0.2%
6.5	2	0.5%
6.4	1	0.2%
6.3	3	0.8%
5.9	2	0.5%
5.8	2	0.5%
5.7	4	1.0%

hemo
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	115
Distinct (%)	33.0%
Missing	52
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.52643678

Minimum	3.1
Maximum	17.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	3.1
5-th percentile	7.9
Q1	10.3
median	12.65
Q3	15
95-th percentile	16.9
Maximum	17.8
Range	14.7
Interquartile range (IQR)	4.7

Descriptive statistics

Standard deviation	2.912586609
Coefficient of variation (CV)	0.2325151725
Kurtosis	-0.4713980437
Mean	12.52643678
Median Absolute Deviation (MAD)	2.35
Skewness	-0.3350946792
Sum	4359.2
Variance	8.483160754
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	16	4.0%
10.9	8	2.0%
13	7	1.8%
13.6	7	1.8%
9.8	7	1.8%
11.1	7	1.8%
12	6	1.5%
13.9	6	1.5%
11.3	6	1.5%
10.3	6	1.5%
Other values (105)	272	68.0%
(Missing)	52	13.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.1	1	0.2%
4.8	1	0.2%
5.5	1	0.2%
5.6	1	0.2%
5.8	1	0.2%
6	2	0.5%
6.1	1	0.2%
6.2	1	0.2%
6.3	1	0.2%
6.6	1	0.2%

Value	Count	Frequency (%)
17.8	3	0.8%
17.7	1	0.2%
17.6	1	0.2%
17.5	1	0.2%
17.4	2	0.5%
17.3	1	0.2%
17.2	2	0.5%
17.1	2	0.5%
17	4	1.0%
16.9	2	0.5%

pcv
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	12.8%
Missing	71
Missing (%)	17.8%
Infinite	0
Infinite (%)	0.0%
Mean	38.88449848

Minimum	9
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	9
5-th percentile	24
Q1	32
median	40
Q3	45
95-th percentile	52
Maximum	54
Range	45
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.990104815
Coefficient of variation (CV)	0.2312002254
Kurtosis	-0.3205616838
Mean	38.88449848
Median Absolute Deviation (MAD)	7
Skewness	-0.4336785974
Sum	12793
Variance	80.82198458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
41	21	5.2%
52	21	5.2%
48	19	4.8%
44	19	4.8%
40	16	4.0%
43	15	3.8%
45	13	3.2%
42	13	3.2%
50	12	3.0%
28	12	3.0%
Other values (32)	168	42.0%
(Missing)	71	17.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	0.2%
14	1	0.2%
15	1	0.2%
16	1	0.2%
17	1	0.2%
18	1	0.2%
19	2	0.5%
20	1	0.2%
21	1	0.2%
22	3	0.8%

Value	Count	Frequency (%)
54	4	1.0%
53	4	1.0%
52	21	5.2%
51	4	1.0%
50	12	3.0%
49	4	1.0%
48	19	4.8%
47	4	1.0%
46	9	2.2%
45	13	3.2%

wbccc
Real number (ℝ_≥0)

MISSING

Distinct	89
Distinct (%)	30.3%
Missing	106
Missing (%)	26.5%
Infinite	0
Infinite (%)	0.0%
Mean	8406.122449

Minimum	2200
Maximum	26400
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2200
5-th percentile	4500
Q1	6500
median	8000
Q3	9800
95-th percentile	12940
Maximum	26400
Range	24200
Interquartile range (IQR)	3300

Descriptive statistics

Standard deviation	2944.47419
Coefficient of variation (CV)	0.3502773375
Kurtosis	6.150639815
Mean	8406.122449
Median Absolute Deviation (MAD)	1700
Skewness	1.621589372
Sum	2471400
Variance	8669928.258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9800	11	2.8%
6700	10	2.5%
7200	9	2.2%
9200	9	2.2%
9600	9	2.2%
6900	8	2.0%
11000	8	2.0%
5800	8	2.0%
7000	7	1.8%
7800	7	1.8%
Other values (79)	208	52.0%
(Missing)	106	26.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2200	1	0.2%
2600	1	0.2%
3800	2	0.5%
4100	1	0.2%
4200	3	0.8%
4300	6	1.5%
4500	3	0.8%
4700	4	1.0%
4900	1	0.2%
5000	5	1.2%

Value	Count	Frequency (%)
26400	1	0.2%
21600	1	0.2%
19100	1	0.2%
18900	1	0.2%
16700	1	0.2%
16300	1	0.2%
15700	1	0.2%
15200	2	0.5%
14900	1	0.2%
14600	2	0.5%

rbcc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	16.7%
Missing	131
Missing (%)	32.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.707434944

Minimum	2.1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.2 KiB

Quantile statistics

Minimum	2.1
5-th percentile	2.94
Q1	3.9
median	4.8
Q3	5.4
95-th percentile	6.3
Maximum	8
Range	5.9
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	1.025323266
Coefficient of variation (CV)	0.217809333
Kurtosis	-0.2700424813
Mean	4.707434944
Median Absolute Deviation (MAD)	0.7
Skewness	-0.1833293208
Sum	1266.3
Variance	1.051287799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
5.2	18	4.5%
4.5	16	4.0%
4.9	14	3.5%
4.7	11	2.8%
4.8	10	2.5%
5	10	2.5%
3.9	10	2.5%
4.6	9	2.2%
3.4	9	2.2%
5.9	8	2.0%
Other values (35)	154	38.5%
(Missing)	131	32.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.1	2	0.5%
2.3	1	0.2%
2.4	1	0.2%
2.5	2	0.5%
2.6	2	0.5%
2.7	2	0.5%
2.8	2	0.5%
2.9	2	0.5%
3	3	0.8%
3.1	2	0.5%

Value	Count	Frequency (%)
8	1	0.2%
6.5	5	1.2%
6.4	5	1.2%
6.3	4	1.0%
6.2	5	1.2%
6.1	8	2.0%
6	4	1.0%
5.9	8	2.0%
5.8	7	1.8%
5.7	5	1.2%

htn
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	2
Missing (%)	0.5%
Memory size	928.0 B

False	251
True	147
(Missing)	2

Common Values
Chart

Value	Count	Frequency (%)
False	251	62.7%
True	147	36.8%
(Missing)	2	0.5%

dm
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	2
Missing (%)	0.5%
Memory size	928.0 B

False	261
True	137
(Missing)	2

Common Values
Chart

Value	Count	Frequency (%)
False	261	65.2%
True	137	34.2%
(Missing)	2	0.5%

cad
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	2
Missing (%)	0.5%
Memory size	928.0 B

False	364
True	34
(Missing)	2

Common Values
Chart

Value	Count	Frequency (%)
False	364	91.0%
True	34	8.5%
(Missing)	2	0.5%

appet
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	23.9 KiB

good	317
poor	82

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	1596
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	good
2nd row	good
3rd row	poor
4th row	poor
5th row	good

Common Values

Value	Count	Frequency (%)
good	317	79.2%
poor	82	20.5%
(Missing)	1	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
good	317	79.4%
poor	82	20.6%

Most occurring characters

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1596	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1596	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1596	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	798	50.0%
g	317	19.9%
d	317	19.9%
p	82	5.1%
r	82	5.1%

pe
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	928.0 B

False	323
True	76
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	323	80.8%
True	76	19.0%
(Missing)	1	0.2%

ane
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	1
Missing (%)	0.2%
Memory size	928.0 B

False	339
True	60
(Missing)	1

Common Values
Chart

Value	Count	Frequency (%)
False	339	84.8%
True	60	15.0%
(Missing)	1	0.2%

class
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	24.0 KiB

ckd	250
notckd	150

Length

Max length	6
Median length	3
Mean length	4.125
Min length	3

Characters and Unicode

Total characters	1650
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ckd
2nd row	ckd
3rd row	ckd
4th row	ckd
5th row	ckd

Common Values

Value	Count	Frequency (%)
ckd	250	62.5%
notckd	150	37.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ckd	250	62.5%
notckd	150	37.5%

Most occurring characters

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1650	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1650	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	400	24.2%
k	400	24.2%
d	400	24.2%
n	150	9.1%
o	150	9.1%
t	150	9.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	age	bp	sg	al	su	rbc	pc	pcc	ba	bgr	bu	sc	sod	pot	hemo	pcv	wbccc	rbcc	htn	dm	cad	appet	pe	ane	class
0	48.0	80.0	1.02	1	0	NaN	normal	notpresent	notpresent	121.0	36.0	1.2	NaN	NaN	15.4	44.0	7800.0	5.2	yes	yes	no	good	no	no	ckd
1	7.0	50.0	1.02	4	0	NaN	normal	notpresent	notpresent	NaN	18.0	0.8	NaN	NaN	11.3	38.0	6000.0	NaN	no	no	no	good	no	no	ckd
2	62.0	80.0	1.01	2	3	normal	normal	notpresent	notpresent	423.0	53.0	1.8	NaN	NaN	9.6	31.0	7500.0	NaN	no	yes	no	poor	no	yes	ckd
3	48.0	70.0	1.005	4	0	normal	abnormal	present	notpresent	117.0	56.0	3.8	111.0	2.5	11.2	32.0	6700.0	3.9	yes	no	no	poor	yes	yes	ckd
4	51.0	80.0	1.01	2	0	normal	normal	notpresent	notpresent	106.0	26.0	1.4	NaN	NaN	11.6	35.0	7300.0	4.6	no	no	no	good	no	no	ckd
5	60.0	90.0	1.015	3	0	NaN	NaN	notpresent	notpresent	74.0	25.0	1.1	142.0	3.2	12.2	39.0	7800.0	4.4	yes	yes	no	good	yes	no	ckd
6	68.0	70.0	1.01	0	0	NaN	normal	notpresent	notpresent	100.0	54.0	24.0	104.0	4.0	12.4	36.0	NaN	NaN	no	no	no	good	no	no	ckd
7	24.0	NaN	1.015	2	4	normal	abnormal	notpresent	notpresent	410.0	31.0	1.1	NaN	NaN	12.4	44.0	6900.0	5.0	no	yes	no	good	yes	no	ckd
8	52.0	100.0	1.015	3	0	normal	abnormal	present	notpresent	138.0	60.0	1.9	NaN	NaN	10.8	33.0	9600.0	4.0	yes	yes	no	good	no	yes	ckd
9	53.0	90.0	1.02	2	0	abnormal	abnormal	present	notpresent	70.0	107.0	7.2	114.0	3.7	9.5	29.0	12100.0	3.7	yes	yes	no	poor	no	yes	ckd

Last rows

	age	bp	sg	rbc	pc	pcc	ba	bgr	bu	sc	sod	pot	hemo	pcv	wbccc	rbcc	htn	dm	cad	appet	pe	ane	class
390	52.0	80.0	1.025	normal	normal	notpresent	notpresent	99.0	25.0	0.8	135.0	3.7	15.0	52.0	6300.0	5.3	no	no	no	good	no	no	notckd
391	36.0	80.0	1.025	normal	normal	notpresent	notpresent	85.0	16.0	1.1	142.0	4.1	15.6	44.0	5800.0	6.3	no	no	no	good	no	no	notckd
392	57.0	80.0	1.02	normal	normal	notpresent	notpresent	133.0	48.0	1.2	147.0	4.3	14.8	46.0	6600.0	5.5	no	no	no	good	no	no	notckd
393	43.0	60.0	1.025	normal	normal	notpresent	notpresent	117.0	45.0	0.7	141.0	4.4	13.0	54.0	7400.0	5.4	no	no	no	good	no	no	notckd
394	50.0	80.0	1.02	normal	normal	notpresent	notpresent	137.0	46.0	0.8	139.0	5.0	14.1	45.0	9500.0	4.6	no	no	no	good	no	no	notckd
395	55.0	80.0	1.02	normal	normal	notpresent	notpresent	140.0	49.0	0.5	150.0	4.9	15.7	47.0	6700.0	4.9	no	no	no	good	no	no	notckd
396	42.0	70.0	1.025	normal	normal	notpresent	notpresent	75.0	31.0	1.2	141.0	3.5	16.5	54.0	7800.0	6.2	no	no	no	good	no	no	notckd
397	12.0	80.0	1.02	normal	normal	notpresent	notpresent	100.0	26.0	0.6	137.0	4.4	15.8	49.0	6600.0	5.4	no	no	no	good	no	no	notckd
398	17.0	60.0	1.025	normal	normal	notpresent	notpresent	114.0	50.0	1.0	135.0	4.9	14.2	51.0	7200.0	5.9	no	no	no	good	no	no	notckd
399	58.0	80.0	1.025	normal	normal	notpresent	notpresent	131.0	18.0	1.1	141.0	3.5	15.8	53.0	6800.0	6.1	no	no	no	good	no	no	notckd

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block